I’ve spent the last two weeks with the HR team within the
Indiana Bureau of Motor Vehicles. This agency is responsible for all vehicle
registrations and documentation for the entire state of Indiana, and has dozens
of branches across the state. Being a large agency with many employees and
strict performance standards, the department has a lot of data stored about the
performance of employees. There was a wealth of information about employee
resignations, firings, retirements, demotions, transfers, and other events, and
it was this data that I was tasked with analyzing and presenting.
My project consisted of answering three questions: what
events led to employees being fired and/or declared Not Eligible for Rehire?
Were disciplinary actions that an employee received reflected in their annual
performance ratings? What was the eventual fate of employees who were
performing below acceptable standards?
To answer these questions, I set about gathering data on
employee turnover, discipline, and performance for the past five years. After
obtaining the data from the director, I organized it into a spreadsheet, then
assigned numerical values to each of the data points so that they could be
analyzed using statistical software. Although the actual data analysis is a very
fast process, organizing the data into a usable form is a very time-consuming
process, and the entire first week was dedicated to preparing the data for
examination. There was definitely a valuable lesson learned here – the real
world is nothing like school, and the data you get will have to be placed in
the form I need it in. It was definitely a more involved process than I had
originally thought!
Once the data was ready, I ran it through statistical
software to try and answer the questions. While some of the questions were very
straightforward and easy to answer, others were not. I set about preparing a
presentation that would make the results clear in a way that people without a
statistical background could easily understand. After this presentation was prepared,
I presented it to the branch managers at a meeting.
I learned several valuable lessons while completing this
project and one of the most important was how to present statistical
information in terms people were familiar with. Although I’m very comfortable
using statistics, I had never been tasked with presenting to an audience
outside of academia, and the experience of doing so was very valuable. This
rotation was a wonderful learning experience for me.
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